research-personas

Synthesize raw research data into three user personas with JTBD, pains, gains, and insights.

5|2|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/tarunccet/pm-skills --skill research-personas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-personas
Source: https://github.com/tarunccet/pm-skills/tree/main/pm-market-research/skills/research-personas
Command: npx skills add https://github.com/tarunccet/pm-skills --skill research-personas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create 3 refined user personas from research data — JTBD, pains, gains, and unexpected insights — to guide product decisions.

Core Features & Use Cases

  • Generate three distinct, research-backed personas from interviews, surveys, transcripts, or other data sources.
  • Extract jobs-to-be-done, pains, gains, demographics, and surprising insights to inform strategy and design.
  • Use for segmentation, messaging, and feature prioritization in product planning.

Quick Start

Provide your research data (CSV, transcripts, or survey results) and I will generate 3 personas with JTBD, pains, gains, and insights.

Frequently Asked Questions about research-personas

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create user personas from raw research data?

Yes, you can generate research-backed personas from survey results by inputting the raw data. The synthesis process extracts distinct demographics, jobs-to-be-done, pains, gains, and unexpected insights from your survey data to inform product strategy.

What is the best way to extract jobs-to-be-done from interview transcripts?

Extracting jobs-to-be-done from interview transcripts involves structured analysis of user inputs to identify core tasks. This synthesis produces 3 refined personas, each detailing specific jobs-to-be-done, pains, gains, and an unexpected insight for feature prioritization.

Can I use this for user segmentation from usability study outputs?

Yes, you can use usability study outputs to generate 3 distinct personas for user segmentation. The analysis extracts demographics, pains, gains, and jobs-to-be-done, providing structured outputs to inform messaging and product planning.

Does generating personas this way work for product strategy and feature prioritization?

Generating personas this way directly supports product strategy and feature prioritization. It synthesizes research into 3 refined personas with jobs-to-be-done and unexpected insights, providing a clear framework for design decisions and messaging.